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@raishs raishs commented Aug 5, 2025

Description

Executive Intelligence is a comprehensive Perplexity Sonar-powered application that provides executives and board members with instant, accurate, and credible intelligence for strategic decision-making. The project demonstrates advanced AI integration with competitive intelligence, scenario planning, and benchmarking capabilities.

Type of Contribution

  • Example Tutorial
  • Showcase Project
  • Article/Integration Guide
  • Documentation Update
  • Bug Fix
  • Other (please describe)

Checklist

  • My code follows the cookbook's style guidelines
  • I have included comprehensive documentation
  • I have tested my code and it works as expected
  • I have included all necessary dependencies and setup instructions
  • My MDX file includes proper frontmatter (title, description, keywords)
  • I have linked to any external repositories or live demos

Project Details

What problem does this solve?
Executives and board members struggle to quickly access reliable, board-ready competitive intelligence and strategic insights. This application solves this by providing instant, AI-powered competitive analysis, scenario planning, and benchmarking with full source citations and professional formatting.

What makes this contribution valuable to other developers?
This project demonstrates advanced Perplexity Sonar API integration with sophisticated prompt engineering, markdown processing, citation handling, and state management. It shows how to build enterprise-ready AI applications with proper error handling, loading states, and user experience considerations. The code includes comprehensive examples of API integration, React Context usage, and real-world AI application patterns.

External Links (if applicable):

Testing

The application was tested with various company inputs (Nvidia, Perplexity, etc.) to verify competitive intelligence generation, scenario planning functionality, and benchmarking capabilities. All API integrations were tested with proper error handling and timeout scenarios. The markdown processing and citation linking were validated with different response formats from the Perplexity API.

Additional Notes

This project showcases a complete AI-powered business intelligence solution that could be extended for enterprise use. The codebase demonstrates best practices for Next.js applications, TypeScript implementation, and Perplexity Sonar API integration. The comprehensive documentation includes both technical implementation details and business use cases, making it valuable for developers building similar AI-powered applications.

@raishs raishs marked this pull request as ready for review August 5, 2025 02:54
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